By reading the job description and the required skills meta. For a senior backend role with idempotency in the requirements, the bot asks about idempotency. For a marketing role with attribution in the description, it asks about attribution. The model is constrained to generate questions tied to the job's stated requirements rather than drifting into generic interview trivia.

Yes, with the same constraints a human interviewer would apply. The bot can ask the candidate to design an idempotent payment system, a URL shortener, a distributed rate limiter, or any standard scenario relevant to the role. Follow-up depth scales with the candidate's answers, so the conversation mirrors how a real interviewer would probe.

It can read code pasted into chat and offer feedback on correctness, complexity, and idiom. It is not a substitute for a sandboxed coding environment with execution, so for live-coding practice many candidates pair the bot with a separate editor. The bot is most useful for the discussion and follow-up phase of a coding round.

Yes. Per-candidate state is stored against the user ID. The bot remembers prior sessions, knows which questions you have already answered, and can either repeat with variations or move to new areas. The progress view shows specificity, outcome quantification, and scope clarity over time, which are the dimensions hiring managers most consistently rate.

Yes, and they are often where the bot is most useful. Behavioral questions reward specificity, and the bot consistently nudges candidates toward concrete situations, actions, and measurable outcomes. The feedback after each answer points out where the candidate generalized or omitted scope, which is hard to self-diagnose without a peer reviewer.

Yes. The bot can run mock interviews in any of the major European or Asian languages the model supports natively. Candidates preparing for non-English interviews benefit because most public mock-interview platforms assume English. The system prompt can be configured to set the interview language explicitly.

Cheaper, available on demand, and better for high-volume practice. Worse for the soft signals a human evaluator catches: pacing, eye contact in video, vocal confidence. Most candidates use the bot for the first 5 to 10 practice rounds to get content reps in, then book one or two human sessions before the real interview for the soft-skill polish.

In your WordPress database if you self-host. SleekAI does not route conversation data through any external server. The model API of your choice sees only the message content per turn; configuring your provider for zero retention is straightforward. Practice data is private to the candidate user account and not shared by default.